2025 MI P2 Q11

2025 MI P2 Q11

10 marks

Cardiovascular fitness is commonly measured using \(\mathrm{VO}_2\) max, the maximum amount of oxygen the body can use during intense exercise. The higher the value of \(\mathrm{VO}_2\) max, the fitter the person is. In a study on cardiovascular fitness, the resting heart rate \(x\), measured in beats/min and the \(\mathrm{VO}_2\) max \(y\), measured in ml/kg/min, of \(8\) randomly selected people are given in the table below.

\(x\)\(78\)\(75\)\(65\)\(64\)\(62\)\(56\)\(53\)\(48\)
\(y\)\(36\)\(41\)\(47\)\(48\)\(48\)\(56\)\(58\)\(63\)
  1. Draw a scatter diagram for these values, labelling the axes.[1]
  2. Find the product moment correlation coefficient between \(y\) and \(x\) and comment on its value in the context of the data.[2]
  3. Use an appropriate regression line to estimate the \(\mathrm{VO}_2\) max of a person with a resting heart rate of \(60\) beats/min, leaving your answer to the nearest integer. Comment on the reliability of your estimate.[3]
  4. Use a specific example to explain why extrapolating using your regression line in part (iii) to predict the \(\mathrm{VO}_2\) max of people with very high or very low resting heart rate is not advisable.[1]

Due to an instrumentation issue, all the resting heart rate values are to be increased by \(v\) beats/min.

  1. Find the value of the product moment correlation coefficient, and the gradient and \(y\)-intercept of the regression line of \(y\) on \(x\) after these adjustments, leaving your answer in terms of \(v\) where applicable.[3]

Solution:

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Answer:(i) Scatter shown. (ii) \(r\approx-0.991\), strong negative linear correlation. (iii) \(52\) ml/kg/min; interpolation with a strong linear fit. (iv) At 130 beats/min the model predicts an impossible negative value. (v) \(r\) and slope unchanged; intercept \(103.3947852\ldots+0.8585993649\ldots v\).

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